1. INTRODUCTION
· Prominent Indian real estate development company headquartered in Gurugram, Haryana
· Operates primarily in the affordable and mid-income housing segment
· Strong presence across the Delhi–NCR real estate market
· Emphasis on quality construction, cost efficiency, and timely project execution
· Aligns business strategy with the Government of India’s Housing for All initiative
· Adopts customer-centric and sustainable development practices
· Relevant case for research in real estate management, operations, and urban planning
2. OBJECTIVE
To calculate β of Signature Global pvt and observe its significance.
1. DATA COLLECTION
· Historical data of Signature Global Pvt and NIFTY50 index data (downloaded from NSE website for the period 01-Dec-24 to 30-Nov-2025).
· The data was manipulated to get Friday closing prices.
2. LITERATURE REVIEW
· Signature Global Pvt. Ltd. operates within India’s rapidly growing affordable housing segment, which has been widely discussed in literature due to increasing urbanization and government initiatives such as Housing for All. Studies highlight that developers aligned with public housing policies benefit from higher demand and regulatory support. Research also emphasizes that timely project delivery, cost efficiency, and quality construction are critical success factors in real estate development. Signature Global’s operational focus on affordable housing, project execution efficiency, and customer-centric practices aligns with these findings. However, literature also notes challenges such as land acquisition, financing constraints, and regulatory complexities faced by developers in this segment, making companies like Signature Global relevant for further research in real estate and operations management.
3. DATA ANALYSIS
· Regression Equation: –
y = -0.0011241x + 25.1414081
where: –
y = Weekly Return for Signature Global Pvt
x = Weekly Return for NIFTY
This equation tells us that if weekly returns of NIFTY increases, then weekly return for Shree Cement Limited also increases.
· Number of Observations = 48
t-stat for β = -0.5261619
· p-value = 0.60130352 × 10⁻⁶ This indicates that since p-value < 0.05, β is statistically significant at 1% level.
· R2 = 0.00598239 This indicates that around 20% of the weekly return for Shree Cement Limited is explained by the weekly return for NIFTY. 80% is the error due to the other variables which are not in model.
· F = 0.27684632 The overall model is statistically significant.
4. CONCLUSION
Here β -0.0011241 Since β < 1, it is good for short-term investment if NIFTY rises.
5. REFERENCES
Gopalan, K., & Venkataraman, M. (2015). Affordable housing: An academic perspective on policy and practice in India. IIMB Management Review. — Discusses definitions, issues, and institutional frameworks related to affordable housing in India.